How to cite this paper
Kundu, K., Rossini, M & Portioli-Staudacher, A. (2019). A study of a kanban based assembly line feeding system through integration of simulation and particle swarm optimization.International Journal of Industrial Engineering Computations , 10(3), 421-442.
Refrences
Aghajani, M., Keramati, A., Moghadam, R.T., & Mirjavadi, S.S. (2016). A mathematical programming model for cellular manufacturing system controlled by kanban with rework consideration.The International Journal of Advanced Manufacturing Technology, 83(5-8), 1377-1394.
Azadeh, A., Ebrahimipour, V., & Bavar, P. (2010). A hybrid ga-simulation approach to improve jit systems. International Journal of Production Research, 48(8), 2323-2344.
Ballou, R.H. (2004). Business logistics/supply chain management: planning, organizing, and controlling the supply chain. Pearson Education International.
Battini, D. Faccio, M., Persona, A., & Sgarbossa, F. (2009). Design of the optimal feeding policy in an assembly system. International Journal of Production Economics, 121(1), 233-254.
Battini, D., Faccio, M., Persona, A., & Sgarbossa, F.(2010). “supermarket warehouses”: stocking policies optimization in an assembly-to-order environment. The International Journal of Advanced Manufacturing Technology, 50(5-8), 775-788.
Battini, D., Boysen, N., & Emde, S.(2013). Just-in-time supermarkets forpart supply in the automobile industry. Journal of Management Control, 24(2), 209-217.
Battini, D., Gamberi, M., Persona, A., & Sgarbossa, F. (2015) Part-feeding with supermarket in assembly systems: transportation mode selectionmodel and multi-scenario analysis. Assembly Automation, 35(1), 149-159.
Blum, C., & Roli, A. (2003). Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys (CSUR), 35(3), 268-308.
Bowden, R.O., Hall, J.D., & Usher, J.M. (1996). Integration of evolutionary programming and simulation to optimize a pull production system. Computers & Industrial Engineering, 31(1), 217-220.
Cao, Z., & Li, H. (2013). Multi-objective optimization of material collaborative delivery for mixed model automotive assembly process. In Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on, pages 405-409. IEEE.
Cao, Z., & Lin, Z. (2014). Multi-objective optimization of material delivery for mixed model automotive assembly line based on particle swarm algorithm. In Control Conference (CCC), 2014 33rd Chinese, pages 2979-2984. IEEE.
Caputo, A.C., & Pelagagge, P.M. (2011). A methodology for selecting assembly systems feeding policy. Industrial Management & Data Systems, 111(1), 84-112.
Chen, H., Wang, A., & Ning, R. (2009). Material logistic process control in hierarchical workshop model. In Technology and Innovation Conference 2009 (ITIC 2009), International, pages 1-6. IET.
Choi, W., & Lee, Y. (2002). A dynamic part-feeding system for an automotive assembly line. Computers & Industrial Engineering, 43(1), 123-134.
Clerc, M., & Kennedy, J. (2002). The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE transactions on Evolutionary Computation, 6(1), 58-73.
Eberhart, R., & Kennedy, J. (1995). A new optimizer using particle swarm theory. In Micro Machine and Human Science, 1995. MHS'95., Proceedings of the Sixth International Symposium on, pages 39-43. IEEE.
Emde, S., & Boysen, N. (2012a). Optimally locating in-house logistics areas to facilitate jit-supply of mixed-model assembly lines. International Journal of Production Economics, 135(1), 393-402.
Emde, S., & Boysen, N. (2012b). Optimally routing and scheduling tow trains for jit-supply of mixed-model assembly lines. European Journal of Operational Research, 217(2), 287-299.
Emde, S., Fliedner, M., & Boysen, N. (2012). Optimally loading towtrains for just-in-time supply of mixed-model assembly lines. IIE Transactions, 44(2), 121-135.
Emde, S., & Gendreau, M. (2017). Scheduling in-house transport vehicles to feed parts to automotive assembly lines. European Journal of Operational Research, 260(1), 255-267.
Emde, S., & Schneider, M. (2018). Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines. Transportation Science, 52(3), 657-672.
Faccio, M., Gamberi, M., &Persona, A. (2013a). Kanban number optimisation in a supermarket warehouse feeding a mixed-model assembly system. International Journal of Production Research, 51(10), 2997-3017.
Faccio, M., Gamberi, M., Persona, A., Regattieri, A., & Sgarbossa, F. (2013b). Design and simulation of assembly line feeding systems in the automotive sector using supermarket, kanbans and tow trains: a general framework. Journal of Management Control, 24(2), 187-208.
Faccio, M. (2014). The impact of production mix variations and models varieties on the parts-feeding policy selection in a jit assembly system. The International Journal of Advanced Manufacturing Technology, 72(1-4), 543-560.
Faccio, M., Cohen, Y., Bortolini, M., Ferrari, E., Gamberi, M.,Manzini, R., & Regattieri, A. (2015). New kanban model for towtrain feeding system design. Assembly Automation, 35(1), 128-136.
Gamberini, R., Meli, M., Galloni, L., Rimini, B., & Lolli, F. (2013). Alternative refilling policies for an assembly line managed by kanbans. IFAC Proceedings Volumes, 46(9), 1914-1919.
Golz, J., Gujjula, R., Gunther, H.O., Rinderer, S., & Ziegler, M. (2012). Part feeding at high-variant mixed-model assembly lines. Flexible Services and Manufacturing Journal, 24(2),119-141.
Hanson, R., & Finnsgard, C. (2014). Impact of unit load size on in-plant materials supply efficiency. International Journal of Production Economics, 147, 46-52.
Hao, Q., & Shen, W. (2008). Implementing a hybrid simulation model for a kanban-based material handling system. Robotics and Computer-Integrated Manufacturing, 24(5), 635-646.
Heng, Z., Aipinga, L. I., Xuemeia, L. I. U., Liyuna, X. U., & Moronia, G. (2017). Modeling and Performance Evaluation of Multistage Serial Manufacturing Systems with Rework Loops and Product Polymorphism. Procedia CIRP, 63, 471 – 476.
Hobbs, D.P. (2003). Lean manufacturing implementation: a complete execution manual for any size manufacturer. J. Ross Publishing, Inc., ISBN 1-932159-14-2.
Hou, T.H.T., & Hu, W.C.(2011). An integrated moga approach to determine the pareto-optimal kanban number and size for a jit system. Expert Systems with Applications, 38(5), 5912-5918.
Kennedy, J. (2011). Particle swarm optimization. In Encyclopedia of machine learning, pages 760-766. Springer.
Kesen, S.E., & Baykoc, O.F. (2007). Simulation of automated guided vehicle (agv) systems based on just-in-time (jit) philosophy in a job-shop environment. Simulation Modelling Practice and Theory, 15(3), 272-284.
Koster, R.D., Le-Duc, T., & Roodbergen, K.J. (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2), 481-501.
Kumar, C.S., & Panneerselvam, R.(2007). Literature review of jit-kanban system. The International Journal of Advanced Manufacturing Technology, 32(3-4), 393-408.
Lasi, H., Fettke, P., Kemper, H.G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242.
Limere, V., Landeghem, H.V., Goetschalckx, M., Aghezzaf, E.H., & McGinnis, L.F. (2012). Optimising part feeding in the automotive assembly industry: deciding between kitting and line stocking. International Journal of Production Research, 50(15), 4046-4060.
Lolli, F., Gamberini, R., Giberti, C., Rimini, B., & Bondi, F. (2016). A simulative approach for evaluating alternative feeding scenarios in a kanban system. International Journal of Production Research, 54(14), 4228-4239.
Monden, Y. (2011). Toyota production system: an integrated approach to just-in-time. CRC Press.
Ohno, T.(1988). Toyota production system: beyond large-scale production. CRC Press.
Portioli-Staudacher, A., & Tantardini, M. (2012). Lean implementation in non-repetitive companies: a survey and analysis. International Journal of Services and Operations Management, 11(4), 385-406.
Pradeepmon, T.G., Sridharan, R., & Panicker, V.V. (2018). Development of modified discrete particle swarm optimization algorithm for quadratic assignment problems. International Journal of Industrial Engineering Computations, 9(4), 491–508.
Roukya, N., Abourrajaa, M.N., Boukachoura, J., Boudebousa, D., Alaouib, A.E.H., & Khoukhic, F.E. (2019). Simulation optimization based ant colony algorithm for the uncertain quay crane scheduling problem. International Journal of Industrial Engineering Computations, 10(1), 111–132.
Sali, M., Sahin, E., & Patchong, A. (2015). An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs. sequencing. International Journal of Production Research, 53(5), 1439-1459.
Sali, M., & Sahin, E. (2016). Line feeding optimization for Just in Time assembly lines: An application to the automotive industry. International Journal of Production Economics, 174, 54-67.
Sanders, A., Elangeswaran, C., & Wulfsberg, J. (2016). Industry 4.0implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management, 9(3), 811-833.
Satoglu, S.I., & Sahin, I.E. (2013). Design of a just-in-time periodic material supply system for the assembly lines and an application in electronics industry. The International Journal of Advanced Manufacturing Technology, 65(1-4), 319-332.
Savino, M.M., & Mazza, A. (2015). Kanban-driven parts feeding within a semi-automated o-shaped assembly line: a case study in the automotive industry. Assembly Automation, 35(1), 3-15.
Sugimori, Y., Kusunoki, K., Cho, F., & Uchikawa, S. (1977). Toyota production system and kanban system materialization of just-in-time and respect-for-human system. International Journal of Production Research, 15(6), 553-564.
Toffoli, T., & Margolus, N. (1987). Cellular automata machines: a new environment for modeling. MIT press.
Toncovicha, A.A., Rossita, D.A., Frutosa, M., & Rossita, D.G. (2019). Solving a multi-objective manufacturing cell scheduling problem with the consideration of warehouses using a simulated annealing based procedure. International Journal of Industrial Engineering Computations, 10(1), 1–16.
Vatalaro, J., &Taylor, R. (2005). Implementing a mixed model Kanban System: The lean Replenishment Technique for pull production. Volume 1, CRC Press.
Widyadana, G.A., Wee, H.M., &Chang, J.Y. (2010). Determining the optimal number of kanban in multi-products supply chain system. International Journal of Systems Science, 41(2), 189-201.
Yue, X., Cai, H., Yan, H., Zou, C., & Zhou, K. (2015). Cloud assisted industrial cyber-physical systems: an insight. Microprocessors and Microsystems, 39(8), 1262-1270.
Azadeh, A., Ebrahimipour, V., & Bavar, P. (2010). A hybrid ga-simulation approach to improve jit systems. International Journal of Production Research, 48(8), 2323-2344.
Ballou, R.H. (2004). Business logistics/supply chain management: planning, organizing, and controlling the supply chain. Pearson Education International.
Battini, D. Faccio, M., Persona, A., & Sgarbossa, F. (2009). Design of the optimal feeding policy in an assembly system. International Journal of Production Economics, 121(1), 233-254.
Battini, D., Faccio, M., Persona, A., & Sgarbossa, F.(2010). “supermarket warehouses”: stocking policies optimization in an assembly-to-order environment. The International Journal of Advanced Manufacturing Technology, 50(5-8), 775-788.
Battini, D., Boysen, N., & Emde, S.(2013). Just-in-time supermarkets forpart supply in the automobile industry. Journal of Management Control, 24(2), 209-217.
Battini, D., Gamberi, M., Persona, A., & Sgarbossa, F. (2015) Part-feeding with supermarket in assembly systems: transportation mode selectionmodel and multi-scenario analysis. Assembly Automation, 35(1), 149-159.
Blum, C., & Roli, A. (2003). Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys (CSUR), 35(3), 268-308.
Bowden, R.O., Hall, J.D., & Usher, J.M. (1996). Integration of evolutionary programming and simulation to optimize a pull production system. Computers & Industrial Engineering, 31(1), 217-220.
Cao, Z., & Li, H. (2013). Multi-objective optimization of material collaborative delivery for mixed model automotive assembly process. In Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on, pages 405-409. IEEE.
Cao, Z., & Lin, Z. (2014). Multi-objective optimization of material delivery for mixed model automotive assembly line based on particle swarm algorithm. In Control Conference (CCC), 2014 33rd Chinese, pages 2979-2984. IEEE.
Caputo, A.C., & Pelagagge, P.M. (2011). A methodology for selecting assembly systems feeding policy. Industrial Management & Data Systems, 111(1), 84-112.
Chen, H., Wang, A., & Ning, R. (2009). Material logistic process control in hierarchical workshop model. In Technology and Innovation Conference 2009 (ITIC 2009), International, pages 1-6. IET.
Choi, W., & Lee, Y. (2002). A dynamic part-feeding system for an automotive assembly line. Computers & Industrial Engineering, 43(1), 123-134.
Clerc, M., & Kennedy, J. (2002). The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE transactions on Evolutionary Computation, 6(1), 58-73.
Eberhart, R., & Kennedy, J. (1995). A new optimizer using particle swarm theory. In Micro Machine and Human Science, 1995. MHS'95., Proceedings of the Sixth International Symposium on, pages 39-43. IEEE.
Emde, S., & Boysen, N. (2012a). Optimally locating in-house logistics areas to facilitate jit-supply of mixed-model assembly lines. International Journal of Production Economics, 135(1), 393-402.
Emde, S., & Boysen, N. (2012b). Optimally routing and scheduling tow trains for jit-supply of mixed-model assembly lines. European Journal of Operational Research, 217(2), 287-299.
Emde, S., Fliedner, M., & Boysen, N. (2012). Optimally loading towtrains for just-in-time supply of mixed-model assembly lines. IIE Transactions, 44(2), 121-135.
Emde, S., & Gendreau, M. (2017). Scheduling in-house transport vehicles to feed parts to automotive assembly lines. European Journal of Operational Research, 260(1), 255-267.
Emde, S., & Schneider, M. (2018). Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines. Transportation Science, 52(3), 657-672.
Faccio, M., Gamberi, M., &Persona, A. (2013a). Kanban number optimisation in a supermarket warehouse feeding a mixed-model assembly system. International Journal of Production Research, 51(10), 2997-3017.
Faccio, M., Gamberi, M., Persona, A., Regattieri, A., & Sgarbossa, F. (2013b). Design and simulation of assembly line feeding systems in the automotive sector using supermarket, kanbans and tow trains: a general framework. Journal of Management Control, 24(2), 187-208.
Faccio, M. (2014). The impact of production mix variations and models varieties on the parts-feeding policy selection in a jit assembly system. The International Journal of Advanced Manufacturing Technology, 72(1-4), 543-560.
Faccio, M., Cohen, Y., Bortolini, M., Ferrari, E., Gamberi, M.,Manzini, R., & Regattieri, A. (2015). New kanban model for towtrain feeding system design. Assembly Automation, 35(1), 128-136.
Gamberini, R., Meli, M., Galloni, L., Rimini, B., & Lolli, F. (2013). Alternative refilling policies for an assembly line managed by kanbans. IFAC Proceedings Volumes, 46(9), 1914-1919.
Golz, J., Gujjula, R., Gunther, H.O., Rinderer, S., & Ziegler, M. (2012). Part feeding at high-variant mixed-model assembly lines. Flexible Services and Manufacturing Journal, 24(2),119-141.
Hanson, R., & Finnsgard, C. (2014). Impact of unit load size on in-plant materials supply efficiency. International Journal of Production Economics, 147, 46-52.
Hao, Q., & Shen, W. (2008). Implementing a hybrid simulation model for a kanban-based material handling system. Robotics and Computer-Integrated Manufacturing, 24(5), 635-646.
Heng, Z., Aipinga, L. I., Xuemeia, L. I. U., Liyuna, X. U., & Moronia, G. (2017). Modeling and Performance Evaluation of Multistage Serial Manufacturing Systems with Rework Loops and Product Polymorphism. Procedia CIRP, 63, 471 – 476.
Hobbs, D.P. (2003). Lean manufacturing implementation: a complete execution manual for any size manufacturer. J. Ross Publishing, Inc., ISBN 1-932159-14-2.
Hou, T.H.T., & Hu, W.C.(2011). An integrated moga approach to determine the pareto-optimal kanban number and size for a jit system. Expert Systems with Applications, 38(5), 5912-5918.
Kennedy, J. (2011). Particle swarm optimization. In Encyclopedia of machine learning, pages 760-766. Springer.
Kesen, S.E., & Baykoc, O.F. (2007). Simulation of automated guided vehicle (agv) systems based on just-in-time (jit) philosophy in a job-shop environment. Simulation Modelling Practice and Theory, 15(3), 272-284.
Koster, R.D., Le-Duc, T., & Roodbergen, K.J. (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2), 481-501.
Kumar, C.S., & Panneerselvam, R.(2007). Literature review of jit-kanban system. The International Journal of Advanced Manufacturing Technology, 32(3-4), 393-408.
Lasi, H., Fettke, P., Kemper, H.G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242.
Limere, V., Landeghem, H.V., Goetschalckx, M., Aghezzaf, E.H., & McGinnis, L.F. (2012). Optimising part feeding in the automotive assembly industry: deciding between kitting and line stocking. International Journal of Production Research, 50(15), 4046-4060.
Lolli, F., Gamberini, R., Giberti, C., Rimini, B., & Bondi, F. (2016). A simulative approach for evaluating alternative feeding scenarios in a kanban system. International Journal of Production Research, 54(14), 4228-4239.
Monden, Y. (2011). Toyota production system: an integrated approach to just-in-time. CRC Press.
Ohno, T.(1988). Toyota production system: beyond large-scale production. CRC Press.
Portioli-Staudacher, A., & Tantardini, M. (2012). Lean implementation in non-repetitive companies: a survey and analysis. International Journal of Services and Operations Management, 11(4), 385-406.
Pradeepmon, T.G., Sridharan, R., & Panicker, V.V. (2018). Development of modified discrete particle swarm optimization algorithm for quadratic assignment problems. International Journal of Industrial Engineering Computations, 9(4), 491–508.
Roukya, N., Abourrajaa, M.N., Boukachoura, J., Boudebousa, D., Alaouib, A.E.H., & Khoukhic, F.E. (2019). Simulation optimization based ant colony algorithm for the uncertain quay crane scheduling problem. International Journal of Industrial Engineering Computations, 10(1), 111–132.
Sali, M., Sahin, E., & Patchong, A. (2015). An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs. sequencing. International Journal of Production Research, 53(5), 1439-1459.
Sali, M., & Sahin, E. (2016). Line feeding optimization for Just in Time assembly lines: An application to the automotive industry. International Journal of Production Economics, 174, 54-67.
Sanders, A., Elangeswaran, C., & Wulfsberg, J. (2016). Industry 4.0implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management, 9(3), 811-833.
Satoglu, S.I., & Sahin, I.E. (2013). Design of a just-in-time periodic material supply system for the assembly lines and an application in electronics industry. The International Journal of Advanced Manufacturing Technology, 65(1-4), 319-332.
Savino, M.M., & Mazza, A. (2015). Kanban-driven parts feeding within a semi-automated o-shaped assembly line: a case study in the automotive industry. Assembly Automation, 35(1), 3-15.
Sugimori, Y., Kusunoki, K., Cho, F., & Uchikawa, S. (1977). Toyota production system and kanban system materialization of just-in-time and respect-for-human system. International Journal of Production Research, 15(6), 553-564.
Toffoli, T., & Margolus, N. (1987). Cellular automata machines: a new environment for modeling. MIT press.
Toncovicha, A.A., Rossita, D.A., Frutosa, M., & Rossita, D.G. (2019). Solving a multi-objective manufacturing cell scheduling problem with the consideration of warehouses using a simulated annealing based procedure. International Journal of Industrial Engineering Computations, 10(1), 1–16.
Vatalaro, J., &Taylor, R. (2005). Implementing a mixed model Kanban System: The lean Replenishment Technique for pull production. Volume 1, CRC Press.
Widyadana, G.A., Wee, H.M., &Chang, J.Y. (2010). Determining the optimal number of kanban in multi-products supply chain system. International Journal of Systems Science, 41(2), 189-201.
Yue, X., Cai, H., Yan, H., Zou, C., & Zhou, K. (2015). Cloud assisted industrial cyber-physical systems: an insight. Microprocessors and Microsystems, 39(8), 1262-1270.